Multi Agent LLM Council — AI skill for Claude Code
Multi-LLM consensus & evaluation platform querying OpenAI, Gemini, Claude, DeepSeek & Mistral in parallel to calculate weighted consensus, measure vote entropy, and eliminate single-model hallucinatio.
How to install Multi Agent LLM Council
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open manugandham27/Multi-Agent-LLM-Council and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Multi Agent LLM Council does
Multi-LLM consensus & evaluation platform querying OpenAI, Gemini, Claude, DeepSeek & Mistral in parallel to calculate weighted consensus, measure vote entropy, and eliminate single-model hallucinations via independent judge verification.
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README
🏛️ Multi-Agent LLM Council
*Ask multiple AI models. Compare their reasoning. Reach a transparent consensus.*
[](https://nextjs.org/) [](https://web-psi-six-97.vercel.app) [](https://nestjs.com/) [](https://fastapi.tiangolo.com/) [](https://www.prisma.io/) [](LICENSE)
[Live Demo](https://web-psi-six-97.vercel.app) • [Features](#-key-features) • [Architecture](#-system-architecture) • [Quickstart](#-quickstart-guide) • [Consensus Methodology](#-consensus-engine)
[!TIP] **🌐 Live Production Web Application**: Experience the deployed application live on Vercel at **[https://web-psi-six-97.vercel.app](https://web-psi-six-97.vercel.app)**!
[!IMPORTANT] **Multi-Agent LLM Council** is an enterprise-grade AI ensemble platform that queries multiple leading LLM providers (OpenAI GPT, Google Gemini, Anthropic Claude, DeepSeek, Mistral, and local Ollama models) in parallel, measures vote entropy/disagreement, executes weighted consensus algorithms, and invokes an independent Judge verifier to eliminate single-model hallucinations.
📖 About The Project
**Multi-Agent LLM Council** was built to solve the fundamental reliability problem in modern Artificial Intelligence: **single-model hallucinations and domain bias**.
By orchestrating an ensemble of competing LLM models in parallel, th
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